Carlos Klauberg - Publications

Peer-reviewed Research Articles

2025

  1. Batista, E.K.L.; Hudak, A.T.; Atkins, J.W.; Broadbent, E.N.; Brock, K.M.; Campbell, M.J.; Sánchez-López, N.; Schlickmann, M.B.; Mauro, F.; Susaeta, A.; Rowell, E.; Hamamura, C.; Dalla Corte, A.P.; La Puma, I.; Parsons, R.A.; Bright, B.C.; Vogel, J.; Bueno, I.T.; Silva, G.M.; Klauberg, C.; Xia, J.; Eastburn, J.F.; Rocha, K.D.; Silva, C.A. Comparing Terrestrial and Mobile Laser Scanning Approaches for Multi-Layer Fuel Load Prediction in the Western United States. Remote Sens. 2025, 17, 2757. https://doi.org/10.3390/rs17162757
  2. Bueno, I. T., Silva, C. A., Hamamura, C., Donovan, V. M., Sharma, A., Qiu, J., Xia, J., Brock, K. M., Schlickmann, M. B., Atkins, J. W., Valle, D. R., Vogel, J., Susaeta, A., Karasinski, M. A., Klauberg, C.. Aboveground biomass density maps for post‑hurricane Ian forest monitoring in Florida. Scientific Data, 12, 1189 (2025). https://doi.org/10.1038/s41597-025-05464-0
  3. Bueno, I. T., Silva, C. A., Schlickmann, M. B., Donovan, V. M., Atkins, J. W., Brock, K. M., Xia, J., Valle, D. R., Qiu, J., Vogel, J., Susaeta, A., Sharma, A., Klauberg, C., Mohan, M., & Dalla Corte, A. P. (2025). Upscaling Frameworks Drive Prediction Accuracy and Uncertainty When Mapping Aboveground Biomass Density from the Synergism of Spaceborne LiDAR, SAR, and Passive Optical Data. Remote Sensing, 17(14), 2340. https://doi.org/10.3390/rs17142340
  4. Xia, J., Martin, T. A., Peter, G. F., Brock, K. M., Atkins, J. W., Gitzendanner, M. A., Bueno, I., Calders, K., Dalla Corte, A. P., Hudak, A. T., Schlickmann, M. B., Andreu, M. G., Hamamura, C., Klauberg, C., Silva, C. A. Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning. Scientific Reports, 15, 24427 (2025). https://doi.org/10.1038/s41598-025-09681-w
  5. SchlickmannG, M.B.; Bueno, I.T.; Valle, D.; Hammond, W.M.; Prichard, S.J.; Hudak, A.T.; Klauberg, C.; Karasinski, M.A.; Brock, K.M.; Rocha, K.D.; Silva, C.; Klauberg, C.. Statewide Forest Canopy Cover Mapping of Florida Using Synergistic Integration of Spaceborne LiDAR, SAR, and Optical Imagery. Remote Sens. 2025, 17, 320. https://doi.org/10.3390/rs17020320
  6. Rexg, F.E.; Silva, C.A.; Broadbent, E.N.; Klauberg, C.; Dalla Corte, A.P.; Leite, R.; Hudak, A.; Hamamura, C.; Latifi, H.; Xiao, J.; Atkins, J. Spatial Characterization of Woody Species Diversity in Tropical Savannas Using GEDI and Optical Data. Sensors 2025, 25, 308. https://doi.org/10.3390/s25020308

    7. 2024

  7. Forkel, M., Kutchartt, E., Wessollek, C., Silva, C.A., Andela, N., Vincent, H., Bastos, A., Klauberg, C. (2024). Burning of woody debris dominates fire emissions in the Amazon and Cerrado. Nature Geoscience.
  8. Leite, R. V., Amaral, C., Neigh, C. S. R., Cosenza, D. N., Klauberg, C., Hudak, A. T., Aragão, L., Morton, D. C., Coffield, S., McCabe, T., & Silva, C. A. (2024). Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.416

    9. 2023

  9. Klauberg, C.; Vogel, J.; Dalagnol, R.; Ferreira, M.P.; Hamamura, C.; Broadbent, E.; Silva, C.A. Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning. Remote Sens. 2023, 15, 1165. https://doi.org/10.3390/rs15041165
  10. Rocha, K.D.; Silva, C.A.; Cosenza, D.N.; Mohan, M.; Klauberg, C.; Schlickmann, M.B.; Xia, J.; Leite, R.V.; Almeida, D.R.A.d.; Atkins, J.W.; Cardil, A.; Rowell, E.; Parsons, R.; Sánchez-López, N.; Prichard, S.J.; Hudak, A.T. Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem. Remote Sens. 2023, 15, 1002. https://doi.org/10.3390/rs15041002

    11. 2022

  11. Corte, A.P.D.; da Cunha Neto, E.M.; Rex, F.E.; Souza, D.; Behling, A.; Mohan, M.; Sanquetta, M.N.I.; Silva, C.A.; Klauberg, C.; Sanquetta, C.R.; Veras, H.F.P.; de Almeida, D.R.A.; Prata, G.; Zambrano, A.M.A.; Trautenmüller, J.W.; de Moraes, A.; Karasinski, M.A.; Broadbent, E.N. High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD). Drones 2022, 6, 48. https://doi.org/10.3390/drones6020048
  12. Dalla Corte, A.P.; de Vasconcellos, B.N.; Rex, F.E.; Sanquetta, C.R.; Mohan, M.; Silva, C.A.; Klauberg, C.; de Almeida, D.R.A.; Zambrano, A.M.A.; Trautenmüller, J.W.; Leite, R.V.; do Amaral, C.H.; Veras, H.F.P.; Rocha, K.d.S.; de Moraes, A.; Karasinski, M.A.; Sanquetta, M.N.I.; Broadbent, E.N. Applying High-Resolution UAV-LiDAR and Quantitative Structure Modelling for Estimating Tree Attributes in a Crop-Livestock-Forest System. Land 2022, 11, 507. https://doi.org/10.3390/land11040507
  13. Leite, R. V., Silva, C.A., Amaral, C. H., Liesenberg, V., Almeida, D. R. A., Midhun, M.; Klauberg, C. et al. Large-scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data. Remote Sensing of Environment. 268, Jan 2022, 112764. https://doi.org/10.1016/j.rse.2021.112764
  14. Silva, C.A.; Hudak, A.T; Vierling, L.A.; Valbuena, R.; Cardil, A.; Mohan, M.; Almeida, D. A.; Broadbent, E.N.; Zambrano, A. M. A.; Wilkinson, B., Sharma, A., Drake, J. B.; Medley, P. B., Vogel, J. G.; Prata, G. A.; Atkins, J.; Hamamura, C.; Klauberg, C. 2021. TreeTop: A Shiny-based Application for Extracting Forest Information from LiDAR data for Ecologists and Conservationists. Methods in Ecology and Evolution. V13, pg1164-1176. https://doi.org/10.1111/2041-210X.13830
  15. Liang, L. et al. Co-limitation toward lower latitudes shapes global forest diversity gradients. Nature Ecology and Evolution. 2022. https://doi.org/10.1038/s41559-022-01831-x

    16. 2021

  16. Costa, M., Silva, C. A.; Broadbent, E. N.; Klauberg, C. et al. 2021. Beyond trees: mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data. Forest Ecology and Management. v. 491. https://doi.org/10.1016/j.foreco.2021.119155

    17. 2020

  17. Dalla Corte, A.P.; Rex, F.E.; Almeida, D.R.A.; Sanquetta, C.R.; Silva, C.A.; Moura, M.M.; Wilkinson, B.; Zambrano, A.M.A.; Cunha Neto, E.M.; Veras, H.F.P.; Moraes, A.; Klauberg, C.; Mohan, M.; Cardil, A.; Broadbent, E.N. Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System. Remote Sens. 2020, 12, 863.
  18. Corte, A. P. D.; Souza, D. V.; Rex, F. Ed.; Sanquetta, C. R. ; Mohan, M.; Silva, C. A.; Zambrano, A. M. A.; Prata, G.; Almeida, D. R.; Trautenmüller, J. W.; Klauberg, C.; De Moraes, A.; Sanquetta, M. N.; Wilkinson, B.; Broadbent, E. N. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes. Computers and Electronics in Agriculture, v. 179, p. 105815, 2020.
  19. Silva, V.S., Silva, C.A., Silva, E.M., Klauberg, C., Mohan, M., Cardil, A., Rex, F. Louireiro, G. Combined impact of sample size and modeling techniques for predicting volume in Eucalyptus spp. plantations from LiDAR data. Forests. 2020.
  20. Rex, F., Silva, C.A., Corte, A.P., Klauberg, C., Mohan, M., Cardil, A., Hudak, A. Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data. Remote Sensing. 2020.

    21. 2019

  21. Klauberg, C., Hudak, A., Silva, C.A., Lewis, S., Robichaud, P., Jain, T. Characterizing fire effects on conifers at tree level from airborne laser scanning and high-resolution, multispectral satellite data. Ecological Modeling. 2019.
  22. Silva, C.A., Pinagé, E., Mohan, M., Valbuena, R., Almeida, D., Broadbent, E., Jaafar, W., Papa, D., Cardil, A., Klauberg, C. ForestGapR: An R Package for Airborne Laser Scanning-derived Tropical Forest Gaps Analysis. Methods in Ecology and Evolution. 2019.
  23. Mohan, M., Mendonça, B., Silva, C.A., Klauberg, C., Ribeiro, R., Araújo, E., Monte, M., Cardil, A. Optimizing Individual Tree Detection Accuracy and Measuring Forest Uniformity in Coconut (Cocos nucifera L.) Plantations using Airborne Laser Scanning. Ecological Modeling. 2019.

    24. 2018

  24. Klauberg, C.; Hudak, A.; Bright, B. C.; Boschetti, L.; Dickinson, M.; Kremens, R.; Silva, C. A. Use of ordinary kriging and Gaussian conditional simulation to interpolate airborne fire radiative energy density estimates. International Journal of Wildland Fire, v. 27, p. 228, 2018.
  25. Huo, L.; Silva, C. A.; Klauberg, C.; Mohan, M.; Zhao, L.; Tang, P.; Hudak, A. T. Supervised spatial classification of multispectral LiDAR data in urban areas. PLOS One, v. 13, p. e0206185, 2018.
  26. Silva, C. A.; Saatchi, S.; Alonso, M. G.; Labriere, N.; Klauberg, C.; Ferraz, A.; Meyer, V.; Jeffery, K. J.; Abernethy, K.; White, L.; Zhao, K.; Lewis, S. L.; Hudak, A. T. Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study from Central Gabon. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, p. 1-15, 2018.
  27. Hentz, A. M. K.; Silva, C. A.; Corte, A. P. D.; Netto, S. P.; Strager, M. P.; Klauberg, C.. Estimating forest uniformity in Eucalyptus spp. and Pinus taeda L. stands using field measurements and structure from motion point clouds generated from unmanned aerial vehicle (UAV) data collection. Forest Systems, v. 27, p. e005, 2018.
  28. Qu, Y.; Shaker, A.; Silva, C. A.; Klauberg, C.; Pinage, E. R. Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia. Remote Sensing, v. 10, p. 970, 2018.
  29. Ortega, E. M. M.; Cordeiro, G.; Cancho, V.; Hashimoto, E.; Klauberg, C.. Zero-spiked regression models generated by gamma random variables with application in the resin oil production. Journal Of Statistical Computation and Simulation, p. 1-19, 2018.
  30. Silva, C.A; Klauberg, C.; Hudak, Andrew T.; Vierling, L. A.; Liesenberg, V.; Bernett, L. G.; Scheraiber, C.; Schoeninger, E. Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation. Anais Da Academia Brasileira de Ciências, v. 90, p. 295-309, 2018.
  31. Jaafar, W. S. W. M.; Woodhouse, I. H.; Silva, C. A.; Omar, H.; Maulud, K. N. A.; Hudak, Andrew T.; Klauberg, C.; Cardil, A.; Mohan, M. Improving Individual Tree Crown Delineation and Attributes Estimation of Tropical Forests Using Airborne LiDAR Data. Forests, v. 9, p. 759, 2018.
  32. Silva, C. A.; Klauberg, C.; Hentz, A. M. K.; Corte, A. P. D.; Ribeiro, U.; Liesenberg, V. Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data. Floram, v. 25, p. 2-10, 2018.

    33. 2017

  33. Klauberg, C.; Vidal, E.; Silva, C. A.; Hudak, A.T.; Oliveira, M.; Higuchi, P. Short-term effects of reduced-impact logging on Copaifera spp. (Fabaceae) regeneration in the eastern Amazon. Forests. v.8, p.257, 2017.
  34. Silva, C.A.; Klauberg, C.; Hudak, A.; Vierling, L.; Jaafar, W.; Mohan, M.; Garcia, M.; Ferraz, A.; Cardil, A.; Saatchi, S. Predicting Stem Total and Assortment Volumes in an Industrial Pinus taeda L. Forest Plantation Using Airborne Laser Scanning Data and Random Forest. Forests. v.8, p.254 271, 2017.
  35. Silva, C.A.; Hudak, A.T.; Klauberg, C.; Vierling, L.A.; Gonzalez-Benecke, C.; Padua, S.C.C.; Rodriguez, L.C.E.; Cardil, A. Combined Effect of Pulse Density and Grid Cell Size On Predicting And Mapping Aboveground Carbon In Fast-Growing Eucalyptus Forest Plantation Using Airborne Lidar Data. Carbon Balance and Management. v.12, p.12. 2017.
  36. Silva, C.A.; Hudak, A.T.; Vierling, L.A.; Klauberg, C.; Garcia, M.; Ferraz, A.; Keller, M.; Eitel, J.; Saatchi, S. Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest. Remote Sensing. v.9, p.1068. 2017.
  37. Mohan, M.; Silva, C. A.; Klauberg, C.; Jat, P.; Catts, G.; Cardil, A.; Hudak, A. Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model In An Open Canopy Mixed Conifer Forest. Forests, v. 8, p. 340, 2017.
  38. Silva, I. L. G.; Silva, C. A.; Klauberg, C.; Mello, J. M. Detecção de árvores individuais em área florestal mista de coníferas por meio de dados LiDAR aerotransportando. Advances in Forestry Science. v.4, p.107 - 112, 2017.
  39. Silva, C. A.; Klauberg, C.; Carvalho, S.P.C.; Mendonca, B. Efeito da densidade de pontos LiDAR na predição da altura em plantações de Pinus taeda L. Scientia Forestalis (IPEF). v.45, p.1. 2017.
  40. Silva, C. A.; Klauberg, C.; Carvalho, S.P.C.; Corte, A.P.D. Modeling and mapping basal area of Pinus taeda plantation using airborne lidar data. Anais da Academia Brasileira de Ciencias. v.89, n. 3, p.1895-1905. 2017.
  41. Silva, C.A., Hudak, A., Klauberg, C., Rowell, E, Mohan, M., Cardil, A. etc. Comparison of terrestrial and airborne lidar-derived crown attributes estimates in longleaf pine forest at Eglin Air Force Base, Florida, USA. Remote Sensing. 2017 ESA Annual Meeting (August 6 -- 11).

    42. 2016

  42. Klauberg, C.; Silva, C. A.; Carvalho, S. P. C. E.; Peres, M. Panorama mundial sobre publicações técnico-científicas abordando Produtos Florestais Não Madeireiros nas duas últimas décadas. Advances in Forestry Science. v.3, p.29 - 37, 2016.
  43. Klauberg, C.; Vidal, E.; Silva, C.A.; Bentes, M.; Hudak, A. Sampling methods for titica vine (Heteropsis spp.) inventory in a tropical forest. Annals of Forest Science. v.73, p.1 - 8, 2016.
  44. Silva, C. A.; Klauberg, C.; Hudak, A.; Vierling, L.; Liesenberg, V.; Carvalho, S.; Rodriguez, L. C. E. A principal component approach for predicting stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data. Forestry (London). v.91, p.1 - 20, 2016.
  45. Silva, C. A.; Klauberg, C.; Hudak, A.; Vierling, L.; Bernett, L. G.; Scheraiber, C.; Schoeninger, E.; Liesenberg, V. Estimating Stand Height and Tree Density in Pinus taeda plantations using in situ data, airborne LiDAR and k-Nearest Neighbor Imputation. Anais da Academia Brasileira de Ciências (Impresso). v.1, p.1-15. 2016.
  46. Hudak, A.T.; Bright, B.C.; Pokswinski, S.M.; Loudermilk, E.L.; O’brien, J.J.; Hornsby, B.S.; Klauberg, C.; Silva, C.A. Mapping Forest Structure and Composition from Low-Density LiDAR for Informed Forest, Fuel, and Fire Management at Eglin Air Force Base, Florida, USA. Canadian Journal of Remote Sensing. v.42, p.411 - 427, 2016.
  47. Klauberg, C.; Silva, C. A.; Carvalho, S. P. C. E.; Peres, M. Panorama mundial sobre publicações técnico-científicas abordando Produtos Florestais Não Madeireiros nas duas últimas décadas. Advances in Forestry Science. v.3, p.29 - 37, 2016.

    48. 2015 - 2009

  48. Silva, C.A.; Klauberg, C.; Carvalho, S.P.C.E.; Piccolo, M.C.; Rodriguez, L.C.E. Estoque de carbono na biomassa aérea florestal em plantações comerciais de Eucalyptus spp. Scientia Forestalis (IPEF). v.43, n.105, p.135-146, 2015.
  49. Silva, C.A.; Klauberg, C.; Carvalho, S.P.C.E.; Hudak, A.; Rodriguez, L.C.E. Mapping aboveground carbon stocks using LiDAR data in Eucalyptus spp. plantations in the state of São Paulo, Brazil. Scientia Forestalis (IPEF). v.42, p.100 - 116, 2014.
  50. Klauberg, C.; Vidal, E.; Rodriguez, L.C.E.; Diaz-Balteiro, L. Determining the optimal harvest cycle for copaíba (Copaifera spp.) oleoresin production. Agricultural Systems. v.131, p.116 - 122, 2014.
  51. Klauberg, C.; Paludo, G. F.; Bortoluzzi, R. L. C.; Mantovani, A. Florística e estrutura de um fragmento de Floresta Ombrófila Mista no Planalto Catarinense. Biotemas. v.23, p.35 - 47, 2011.
  52. Brancalion, P.H.S.; Silva, Ejv Da; Klauberg, C. Reserva Legal pode ser boa oportunidade de negócios em propriedades rurais. Visão Agrícola (USP / ESALQ). v.10, p.18 - 21, 2012.
  53. Paludo, G. F.; Mantovani, A.; Klauberg, C.; Reis, M.S. Estrutura demográfica e padrão espacial de uma população natural de Araucaria angustifolia (Bertol.) Kuntze (araucariaceae), na Reserva Genética Florestal de Caçador, Estado de Santa Catarina. Revista Árvore (Impresso), v.33, p.1109 - 1121, 2009.
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